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craa/exceptions_exp2_last_to_push_frequency_1032
exceptions_exp2_last_to_push_frequency_1032 is a text generation model from craa. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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From the Hugging Face model README
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 4.8313 | 0.2912 | 1000 | 4.7483 | 0.2562 |
| 4.3401 | 0.5824 | 2000 | 4.2830 | 0.2995 |
| 4.1591 | 0.8737 | 3000 | 4.0990 | 0.3153 |
| 4.001 | 1.1648 | 4000 | 3.9891 | 0.3252 |
| 3.9223 | 1.4561 | 5000 | 3.9149 | 0.3321 |
| 3.8782 | 1.7473 | 6000 | 3.8584 | 0.3371 |
| 3.7327 | 2.0384 | 7000 | 3.8165 | 0.3413 |
| 3.7531 | 2.3297 | 8000 | 3.7841 | 0.3442 |
| 3.7559 | 2.6209 | 9000 | 3.7527 | 0.3471 |
| 3.7252 | 2.9121 | 10000 | 3.7280 | 0.3495 |
| 3.6288 | 3.2033 | 11000 | 3.7151 | 0.3513 |
| 3.6325 | 3.4945 | 12000 | 3.7007 | 0.3531 |
| 3.6478 | 3.7857 | 13000 | 3.6797 | 0.3551 |
| 3.5321 | 4.0769 | 14000 | 3.6732 | 0.3562 |
| 3.5763 | 4.3681 | 15000 | 3.6602 | 0.3572 |
| 3.5748 | 4.6593 | 16000 | 3.6472 | 0.3586 |
| 3.5768 | 4.9506 | 17000 | 3.6360 | 0.3594 |
| 3.5 | 5.2417 | 18000 | 3.6378 | 0.3605 |
| 3.5303 | 5.5329 | 19000 | 3.6282 | 0.3607 |
| 3.5332 | 5.8242 | 20000 | 3.6155 | 0.3617 |
| 3.4541 | 6.1153 | 21000 | 3.6171 | 0.3624 |
| 3.4769 | 6.4065 | 22000 | 3.6116 | 0.3630 |
| 3.493 | 6.6978 | 23000 | 3.6006 | 0.3637 |
| 3.503 | 6.9890 | 24000 | 3.5904 | 0.3646 |
| 3.4301 | 7.2802 | 25000 | 3.6006 | 0.3649 |
| 3.4586 | 7.5714 | 26000 | 3.5923 | 0.3653 |
| 3.463 | 7.8626 | 27000 | 3.5825 | 0.3659 |
| 3.3797 | 8.1538 | 28000 | 3.5888 | 0.3661 |
| 3.41 | 8.4450 | 29000 | 3.5835 | 0.3666 |
| 3.4295 | 8.7362 | 30000 | 3.5747 | 0.3671 |
| 3.3345 | 9.0274 | 31000 | 3.5795 | 0.3672 |
| 3.3747 | 9.3186 | 32000 | 3.5765 | 0.3675 |
| 3.4052 | 9.6098 | 33000 | 3.5720 | 0.3679 |
| 3.4182 | 9.9010 | 34000 | 3.5621 | 0.3688 |
| 3.327 | 10.1922 | 35000 | 3.5736 | 0.3682 |
| 3.3748 | 10.4834 | 36000 | 3.5681 | 0.3689 |
| 3.3862 | 10.7747 | 37000 | 3.5599 | 0.3693 |
| 3.2947 | 11.0658 | 38000 | 3.5684 | 0.3691 |
| 3.3435 | 11.3570 | 39000 | 3.5660 | 0.3692 |
| 3.3568 | 11.6483 | 40000 | 3.5581 | 0.3699 |
| 3.3558 | 11.9395 | 41000 | 3.5499 | 0.3704 |
| 3.3047 | 12.2306 | 42000 | 3.5656 | 0.3696 |
| 3.3348 | 12.5219 | 43000 | 3.5571 | 0.3703 |
| 3.3468 | 12.8131 | 44000 | 3.5468 | 0.3709 |
| 3.263 | 13.1043 | 45000 | 3.5615 | 0.3704 |
| 3.304 | 13.3955 | 46000 | 3.5539 | 0.3707 |
| 3.3326 | 13.6867 | 47000 | 3.5488 | 0.3713 |
| 3.3425 | 13.9779 | 48000 | 3.5420 | 0.3716 |
| 3.2725 | 14.2691 | 49000 | 3.5558 | 0.3710 |
| 3.2972 | 14.5603 | 50000 | 3.5509 | 0.3714 |
| 3.3232 | 14.8515 | 51000 | 3.5414 | 0.3720 |
| 3.2364 | 15.1427 | 52000 | 3.5593 | 0.3713 |
| 3.2811 | 15.4339 | 53000 | 3.5507 | 0.3716 |
| 3.3125 | 15.7251 | 54000 | 3.5414 | 0.3722 |
| 3.203 | 16.0163 | 55000 | 3.5496 | 0.3722 |
| 3.2484 | 16.3075 | 56000 | 3.5501 | 0.3721 |
| 3.2875 | 16.5988 | 57000 | 3.5429 | 0.3725 |
| 3.298 | 16.8900 | 58000 | 3.5375 | 0.3728 |
| 3.2299 | 17.1811 | 59000 | 3.5518 | 0.3722 |
| 3.2673 | 17.4724 | 60000 | 3.5452 | 0.3726 |
| 3.2797 | 17.7636 | 61000 | 3.5380 | 0.3729 |
| 3.1771 | 18.0547 | 62000 | 3.5497 | 0.3726 |
| 3.242 | 18.3460 | 63000 | 3.5485 | 0.3727 |
| 3.2572 | 18.6372 | 64000 | 3.5411 | 0.3730 |
| 3.2889 | 18.9284 | 65000 | 3.5364 | 0.3733 |
| 3.2037 | 19.2196 | 66000 | 3.5487 | 0.3727 |
| 3.2257 | 19.5108 | 67000 | 3.5439 | 0.3734 |
| 3.2564 | 19.8020 | 68000 | 3.5343 | 0.3738 |
| 3.1653 | 20.0932 | 69000 | 3.5531 | 0.3732 |
| 3.2087 | 20.3844 | 70000 | 3.5481 | 0.3732 |
| 3.2412 | 20.6756 | 71000 | 3.5377 | 0.3737 |
| 3.254 | 20.9669 | 72000 | 3.5304 | 0.3743 |
| 3.1871 | 21.2580 | 73000 | 3.5523 | 0.3732 |
| 3.2088 | 21.5492 | 74000 | 3.5418 | 0.3735 |
| 3.2292 | 21.8405 | 75000 | 3.5338 | 0.3741 |
| 3.1721 | 22.1316 | 76000 | 3.5507 | 0.3734 |
| 3.2015 | 22.4229 | 77000 | 3.5428 | 0.3739 |
| 3.2267 | 22.7141 | 78000 | 3.5357 | 0.3741 |
| 3.203 | 23.0052 | 79000 | 3.5419 | 0.3741 |
| 3.1781 | 23.2965 | 80000 | 3.5480 | 0.3736 |
| 3.2052 | 23.5877 | 81000 | 3.5400 | 0.3743 |
| 3.2213 | 23.8789 | 82000 | 3.5358 | 0.3746 |
| 3.1679 | 24.1701 | 83000 | 3.5492 | 0.3738 |
| 3.1752 | 24.4613 | 84000 | 3.5445 | 0.3738 |
| 3.2067 | 24.7525 | 85000 | 3.5353 | 0.3747 |
| 3.1235 | 25.0437 | 86000 | 3.5494 | 0.3739 |
| 3.1553 | 25.3349 | 87000 | 3.5456 | 0.3743 |
| 3.1768 | 25.6261 | 88000 | 3.5417 | 0.3745 |
| 3.2101 | 25.9174 | 89000 | 3.5307 | 0.3750 |
| 3.135 | 26.2085 | 90000 | 3.5507 | 0.3740 |
| 3.1773 | 26.4997 | 91000 | 3.5428 | 0.3746 |
| 3.1765 | 26.7910 | 92000 | 3.5363 | 0.3749 |